SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Nativa (Sinop) |
Texto Completo: | https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/13137 |
Resumo: | The current study aimed to analyze the spatial distribution relationship among schooling indexes, concerning the money income of census tracts of the watershed Una river, which is located at Ibiuna, municipality of São Paulo state. Together with the 2010 Population Census, Ordinary Kriging were used as geostatistical analysis. Kernel test was applied to evaluate the density of schools. According to the Pearson test, there was a correlation between schooling rates and money income on the population older than 20 years, showing that, as smaller the income, smaller are the schooling levels. Associated with that, the distribution of areas with the smallest schooling levels are the same with the biggest agricultural vocation. Therefore, in conclusion the schooling distribution potential regarding the income is an important management tool for public and social policies. |
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SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOMEANÁLISE ESPACIAL DA DISTRIBUIÇÃO DO ENSINO EM FUNÇÃO DA RENDA EM UMA BACIA HIDROGRÁFICAescolaridadekrigagemdistribuição espacialsistemas de informações geográficasThe current study aimed to analyze the spatial distribution relationship among schooling indexes, concerning the money income of census tracts of the watershed Una river, which is located at Ibiuna, municipality of São Paulo state. Together with the 2010 Population Census, Ordinary Kriging were used as geostatistical analysis. Kernel test was applied to evaluate the density of schools. According to the Pearson test, there was a correlation between schooling rates and money income on the population older than 20 years, showing that, as smaller the income, smaller are the schooling levels. Associated with that, the distribution of areas with the smallest schooling levels are the same with the biggest agricultural vocation. Therefore, in conclusion the schooling distribution potential regarding the income is an important management tool for public and social policies.O presente trabalho tem como objetivo analisar a relação da distribuição espacial dos indicadores de escolaridade em função da renda per capita dos setores censitários da Bacia Hidrográfica do Rio Una (BHRU), localizado no município de Ibiúna-SP. Para isso foram utilizadas técnicas de geoestatística, como estimação de Krigagem Ordinária, teste de Kernel, para avaliar a distribuição da renda e a densidade das escolas juntamente com dados do Censo Demográfico de 2010. De acordo com o teste de Pearson, houve correlação das taxas de escolaridade e renda apenas entre a população com mais de 20 anos. Demonstrando que, quanto menor a renda menor o nível de escolaridade da população, coincidindo a distribuição das áreas de menor renda e escolaridade com as áreas de maior vocação agrícola. Portanto, podemos concluir que conhecer o potencial da distribuição da educação em função da renda é uma ferramenta importante para políticas públicas e sociais. Palavras-chave: escolaridade; krigagem; distribuição espacial; sistemas de informações geográficas. Spatial analysis of education distribution concerning a watershed money income ABSTRACT: The current study aims to analyze the spatial distribution relationship among schooling indexes, considering the money income of census tracts of the watershed Una river, which is located at Ibiuna, municipality of São Paulo state. The 2010 Population Census and the Ordinary Kriging were used as geostatistical analysis. Kernel test was applied to evaluate schools density. Pearson test demonstrated a correlation between schooling rates and money income on the population older than 20 years, showing that, the smaller the income, the smaller are the schooling levels. Associated with that, the area distribution of the smallest schooling levels are the same with the biggest agricultural vocation. Therefore, in conclusion, understanding the schooling distribution potential in relation to the income is an important management tool for public and social policies. Keywords: schooling; kriging; spatial distribution; geographic information systems.Universidade Federal de Mato Grosso2023-09-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/1313710.31413/nativa.v10i1.13137Nativa; v. 10 n. 1 (2022); 05-15Nativa; Vol. 10 Núm. 1 (2022); 05-15Nativa; Vol. 10 No. 1 (2022); 05-152318-7670reponame:Nativa (Sinop)instname:Universidade Federal de Mato Grosso (UFMT)instacron:UFMTporhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/13137/12646https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/13137/12647Copyright (c) 2022 Nativahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCosta Abreu Sales, JomilVasconcelos Silva, CamilleCollins da Cunha e Silva, DarllanBitar, Omar Yazbek Wagner Lourenço, Roberto2022-03-27T12:24:30Zoai:periodicoscientificos.ufmt.br:article/13137Revistahttps://periodicoscientificos.ufmt.br/ojs/index.php/nativaPUBhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/oai||rrmelo2@yahoo.com.br2318-76702318-7670opendoar:2022-03-27T12:24:30Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT)false |
dc.title.none.fl_str_mv |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME ANÁLISE ESPACIAL DA DISTRIBUIÇÃO DO ENSINO EM FUNÇÃO DA RENDA EM UMA BACIA HIDROGRÁFICA |
title |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME |
spellingShingle |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME Costa Abreu Sales, Jomil escolaridade krigagem distribuição espacial sistemas de informações geográficas |
title_short |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME |
title_full |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME |
title_fullStr |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME |
title_full_unstemmed |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME |
title_sort |
SPATIAL ANALYSIS OF EDUCATION DISTRIBUTION CONCERNING A WATERSHED MONEY INCOME |
author |
Costa Abreu Sales, Jomil |
author_facet |
Costa Abreu Sales, Jomil Vasconcelos Silva, Camille Collins da Cunha e Silva, Darllan Bitar, Omar Yazbek Wagner Lourenço, Roberto |
author_role |
author |
author2 |
Vasconcelos Silva, Camille Collins da Cunha e Silva, Darllan Bitar, Omar Yazbek Wagner Lourenço, Roberto |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Costa Abreu Sales, Jomil Vasconcelos Silva, Camille Collins da Cunha e Silva, Darllan Bitar, Omar Yazbek Wagner Lourenço, Roberto |
dc.subject.por.fl_str_mv |
escolaridade krigagem distribuição espacial sistemas de informações geográficas |
topic |
escolaridade krigagem distribuição espacial sistemas de informações geográficas |
description |
The current study aimed to analyze the spatial distribution relationship among schooling indexes, concerning the money income of census tracts of the watershed Una river, which is located at Ibiuna, municipality of São Paulo state. Together with the 2010 Population Census, Ordinary Kriging were used as geostatistical analysis. Kernel test was applied to evaluate the density of schools. According to the Pearson test, there was a correlation between schooling rates and money income on the population older than 20 years, showing that, as smaller the income, smaller are the schooling levels. Associated with that, the distribution of areas with the smallest schooling levels are the same with the biggest agricultural vocation. Therefore, in conclusion the schooling distribution potential regarding the income is an important management tool for public and social policies. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/13137 10.31413/nativa.v10i1.13137 |
url |
https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/13137 |
identifier_str_mv |
10.31413/nativa.v10i1.13137 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/13137/12646 https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/13137/12647 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Nativa https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Nativa https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso |
publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso |
dc.source.none.fl_str_mv |
Nativa; v. 10 n. 1 (2022); 05-15 Nativa; Vol. 10 Núm. 1 (2022); 05-15 Nativa; Vol. 10 No. 1 (2022); 05-15 2318-7670 reponame:Nativa (Sinop) instname:Universidade Federal de Mato Grosso (UFMT) instacron:UFMT |
instname_str |
Universidade Federal de Mato Grosso (UFMT) |
instacron_str |
UFMT |
institution |
UFMT |
reponame_str |
Nativa (Sinop) |
collection |
Nativa (Sinop) |
repository.name.fl_str_mv |
Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT) |
repository.mail.fl_str_mv |
||rrmelo2@yahoo.com.br |
_version_ |
1799711198036361216 |